python count null values in dataframe
# Count total missing values in a dataframe
df.isnull().sum().sum()
# Gives a integer value
python count null values in dataframe
# Count total missing values in a dataframe
df.isnull().sum().sum()
# Gives a integer value
knowing the sum of null value is pandas dataframe
note:df is your pandas dataframe
print(df.isnull().sum())
find nan value in dataframe python
# to mark NaN column as True
df['your column name'].isnull()
to detect if a data frame has nan values
df.isnull().sum().sum()
5
to detect if a data frame has nan values
> df.isnull().any().any()
True
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